State of AI 2026 Report Is Live!

Blog

AI Insights · Timothy · January 2026

Top 5 Fashion Games Performance in Norway Q4 2025

Explore the performance trends of the top 5 fashion games on a unified platform in Norway during Q4 2025, with insights from Sensor Tower.

Top 5 Fashion Games Performance in Norway Q4 2025

In the fourth quarter of 2025, the fashion games category in Norway saw varied performance trends across the top five applications on a unified platform. Here's a closer look at each app's metrics.

YoYa Sparkle: Style Pop from YoYa Games Ltd experienced a peak in weekly revenue at $45 in late October, with a noticeable drop-off towards December. Weekly downloads peaked at 2.5K in the same period, while active users showed a decline from 1.7K in October to around 500 by the end of December.

Skincare Time: Makeover ASMR by DO VAN HUY maintained relatively stable weekly downloads, peaking at 738 in late December. Active users increased from 1.9K to 2.3K by the end of the quarter, although revenue remained minimal.

Fashion Queen: Dress Up Game from AI Games FZ showed consistent growth in active users, rising to 7.8K by the quarter's end. Weekly downloads saw a peak of 753 in late December, while revenue remained low throughout the quarter.

Magic Fashion: Doll Dressup by Truong Nguyen Nam saw a decline in downloads from 1.1K at the start to 286 by the end of December. However, active users remained stable, reaching 2.2K at the quarter's close.

Toca Boca Hair Salon 4 NETFLIX from Netflix, Inc. recorded a significant increase in weekly revenue, peaking at $378 by the end of December. Downloads also showed a strong upward trend, reaching 907 in late December, with active users increasing significantly to 1.7K.

These insights, sourced from Sensor Tower, highlight the dynamic nature of the fashion games market in Norway. For more detailed analytics, visit Sensor Tower.


Sensor Tower's platform is an enterprise-level offering. Interested in learning more?


Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: January 2026